MySQL Group Replication is a new plugin that implements an exciting extension to the proven and long standing MySQL Replication technology. It leverages advanced distributed protocols to ultimately provide to the end user features such as data replication, high availability, split brain protection and automation.
It can be deployed in single-primary mode (default), in which primary fail-over is handled gracefully and automatically, or in multi-master mode, in which row level conflicts are detected and handled automatically as well. Regardless of the deployment mode, the end result is that this new addition provides a consistent and dependable replicated state machine, thus effectively enabling a fault-tolerant MySQL database service.
At the end of the presentation, you will be able to understand how it works, the use cases it address, its limitations and also its roadmap ahead. Moreover, you will get to know how it fits in the overall high availability roadmap at MySQL.
MySQL InnoDB Cluster - Advanced Configuration & OperationsFrederic Descamps
The document discusses various methods for provisioning and monitoring new members joining a MySQL InnoDB cluster. It describes the incremental recovery and clone-based provisioning processes. It provides guidance on forcing the use of clone over incremental recovery for both provisioning and recovery scenarios. The document also discusses using MySQL Shell commands and Performance Schema tables to monitor the provisioning and recovery processes, as well as the overall health and performance of the cluster.
MySQL Group Replication is a new 'synchronous', multi-master, auto-everything replication plugin for MySQL introduced with MySQL 5.7. It is the perfect tool for small 3-20 machine MySQL clusters to gain high availability and high performance. It stands for high availability because the fault of replica don't stop the cluster. Failed nodes can rejoin the cluster and new nodes can be added in a fully automatic way - no DBA intervention required. Its high performance because multiple masters process writes, not just one like with MySQL Replication. Running applications on it is simple: no read-write splitting, no fiddling with eventual consistency and stale data. The cluster offers strong consistency (generalized snapshot isolation).
It is based on Group Communication principles, hence the name.
MySQL InnoDB Cluster: Management and Troubleshooting with MySQL ShellMiguel Araújo
MySQL InnoDB Cluster and MySQL Shell session presented at Oracle CodeOne2019.
Abstract:
MySQL InnoDB Cluster provides a built-in high-availability solution for MySQL. Combining MySQL Group Replication with MySQL Router and MySQL Shell into an integrated full-stack solution, InnoDB Cluster provides easy setup and management of MySQL instances into a fault-tolerant database service. MySQL Shell is the “control panel” of InnoDB Cluster, enabling the easy and straightforward configuration and management of InnoDB clusters by providing a scriptable and interactive API: the AdminAPI. Recent enhancements and features added to MySQL Shell make the management of InnoDB clusters even more powerful and smoother. Attend this session to get an overview of the latest developments and improved InnoDB Cluster administration tasks.
Notes:
The slideshow includes a video that cannot be seen in slideshare/PDF. If you're interested in it please check the following blog post: https://mysqlhighavailability.com/mysql-innodb-cluster-automatic-node-provisioning/
MySQL Database Architectures - High Availability and Disaster Recovery SolutionMiguel Araújo
MySQL InnoDB ClusterSet brings multi-datacenter capabilities to our solutions and makes it very easy to set up a disaster recovery architecture. Think multiple MySQL InnoDB Clusters into one single database architecture, fully managed from MySQL Shell and with full MySQL Router integration to make it easy to access the entire architecture.
This presentation covers the various solutions of MySQL for High Availability, Replication, and Disaster Recovery, with a special focus on InnoDB ClusterSet:
- The various features of InnoDB Clusterset
- How to setup MySQL InnoDB ClusterSet
- Ways to migrate from an existing MySQL InnoDB Cluster into MySQL InnoDB ClusterSet
- How to deal with various failures
- The various features of router integration make the connection to the database architecture easy.
ROLE INTERNAL IP
mysql1 master / app 192.168.56.11
mysql2 replica 192.168.56.12
mysql3 n/a 192.168.56.13
The document outlines steps to migrate an asynchronous MySQL replication setup to a MySQL InnoDB Cluster configuration. It describes cloning data from mysql2 to mysql3, creating an InnoDB Cluster with mysql3, configuring asynchronous replication from mysql1 to mysql3, adding mysql2 to the cluster, and bootstrapping a MySQL Router.
MySQL High Availability with Group ReplicationNuno Carvalho
MySQL Group Replication is a multi-master update everywhere replication plugin that provides high availability. It removes the need for handling server failover, provides fault tolerance, and automates group reconfiguration. Transactions are replicated to all group members, with conflicts detected and resolved using a first committer wins rule. Failed members automatically rejoin the group and synchronize with the others transparently. Group Replication uses the standard MySQL and InnoDB architecture, so existing users will feel familiar. It also supports features like auto-increment handling, GTIDs, secure connections, and a new single primary mode.
Automated, Non-Stop MySQL Operations and Failover discusses automating master failover in MySQL to minimize downtime. The goal is to have no single point of failure by automatically promoting a slave as the new master when the master goes down. This is challenging due to asynchronous replication and the possibility that not all slaves have received the same binary log events from the crashed master. Differential relay log events must be identified and applied to bring all slaves to an eventually consistent state.
24시간 365일 서비스를 위한 MySQL DB 이중화.
MySQL 이중화 방안들에 대해 알아보고 운영하면서 겪은 고민들을 이야기해 봅니다.
목차
1. DB 이중화 필요성
2. 이중화 방안
- HW 이중화
- MySQL Replication 이중화
3. 이중화 운영 장애
4. DNS와 VIP
5. MySQL 이중화 솔루션 비교
대상
- MySQL을 서비스하고 있는 인프라 담당자
- MySQL 이중화에 관심 있는 개발자
The Proxy Wars - MySQL Router, ProxySQL, MariaDB MaxScaleColin Charles
This document discusses MySQL proxy technologies including MySQL Router, ProxySQL, and MariaDB MaxScale. It provides an overview of each technology, including when they were released, key features, and comparisons between them. ProxySQL is highlighted as a popular option currently with integration with Percona tools, while MySQL Router may become more widely used due to its support for MySQL InnoDB Cluster. MariaDB MaxScale is noted for its binlog routing capabilities. Overall the document aims to help people understand and choose between the different MySQL proxy options.
The document discusses MySQL Shell and how it can help database administrators (DBAs) with common tasks like deploying architectures, preparing upgrades, dumping and loading data, and managing users. MySQL Shell provides tools like the Admin API for configuring MySQL clusters and replicasets, an upgrade checker utility to validate upgrades to MySQL 8.0, and parallel dump and load functionality to backup, migrate, and reset data.
This document summarizes Frédéric Descamps' journey to add a user to the router_rest_accounts table to authenticate with the MySQL Router REST API. After several failed attempts using generated or external passwords, he learns directly from the MySQL Router development team that the REST API supports using the default MySQL 8.0 authentication string or the modular_crypt_format for password hashes, allowing simple password insertion.
MySQL InnoDB Cluster: High Availability Made Easy!Vittorio Cioe
InnoDB Cluster represents the present and the future of High-Availability technologies for MySQL! It has been developed to remove from the discussion all the "BUT" which used to arised when we were speaking about high-availability with MySQL. Now, with quasi-automated deployment, fully automated failover and conflict resolution, designing, implementing and maintaing your highly-available MySQL infrastructure is a really no-stress operation!
MySQL InnoDB Cluster - A complete High Availability solution for MySQLOlivier DASINI
MySQL InnoDB Cluster provides a complete high availability solution for MySQL. It uses MySQL Group Replication, which allows for multiple read-write replicas of a database to exist with synchronous replication. MySQL InnoDB Cluster also includes MySQL Shell for setup, management and orchestration of the cluster, and MySQL Router for intelligent connection routing. It allows databases to scale out writes across replicas in a fault-tolerant and self-healing manner.
The document discusses two MySQL high availability solutions: MySQL InnoDB Cluster and MySQL NDB Cluster. MySQL InnoDB Cluster provides easy high availability built into MySQL with write consistency, read scalability, and application failover using MySQL Router. MySQL NDB Cluster is an in-memory database that provides automatic sharding, native access via several APIs, read/write consistency, and read/write scalability using the NDB storage engine. The document compares the two solutions and discusses their architectures and key features.
This document provides an overview of new features and enhancements in MySQL 8.0 over the last 18 months, from versions 8.0.23 to 8.0.30. It discusses improvements to replication, Group Replication, InnoDB, and primary keys. Some key changes include a new InnoDB redo log architecture, support for disabling the redo log at runtime, parallel index builds, and the ability to add an invisible auto-increment primary key column to tables without a primary key. The document is presented by Frédéric Descamps at the MySQL User Group NL.
MaxScale is a database proxy that provides high availability and scalability for MariaDB servers. It can be used to configure load balancing of read/write connections, auto failover/switchover/rejoin using MariaDB GTID replication. Keepalived can be used with MaxScale to provide high availability by monitoring MaxScale and failing over if needed. The document provides details on setting up MariaDB replication with GTID, installing and configuring MaxScale and Keepalived. It also describes testing the auto failover functionality.
ProxySQL High Avalability and Configuration Management OverviewRené Cannaò
The document provides an overview of high availability and configuration management options for ProxySQL. It discusses deploying ProxySQL locally on application servers, in a dedicated layer, or using both approaches. When deploying in a dedicated layer, options for high availability include keepalived, load balancers, Consul, and Kubernetes. Configuration can be managed through tools like Ansible, Puppet, or by loading SQL files. ProxySQL Cluster enables syncing configuration across nodes.
As a developer, it is important to understand MySQL storage engines and how they can impact performance. The key factors to consider include the type of data being stored, concurrency needs, and requirements for transactions. The storage engine chosen affects aspects like locking granularity, indexing support, and performance for queries, inserts, and updates. Explain statements help analyze query execution plans and identify opportunities to improve performance through proper indexing.
Online MySQL Backups with Percona XtraBackupKenny Gryp
Percona XtraBackup is a free, open source, complete online backup solution for all versions of Percona Server, MySQL® and MariaDB®.
Percona XtraBackup provides:
* Fast and reliable backups
* Uninterrupted transaction processing during backups
* Savings on disk space and network bandwidth with better compression
* Automatic backup verification
* Higher uptime due to faster restore time
This talk will discuss the various different features of Percona XtraBackup, including:
* Full & Incremental Backups
* Compression, Streaming & Encryption of Backups
* Backing Up To The Cloud (Swift).
* Percona XtraDB Cluster / Galera Cluster.
* Percona Server Specific features
This document provides an overview of techniques for capturing and analyzing SQL queries in MySQL databases. It discusses built-in MySQL options like the slow query log, general query log, and binary log. It also covers other techniques like using MySQL Proxy, TCP/IP capture, Dtrace/SystemTap, and application management. Specific examples are provided for slow query log output, the general query log from WordPress, and the binary log and processlist.
Inno db internals innodb file formats and source code structurezhaolinjnu
This document discusses the goals, architecture, and on-disk format of the InnoDB storage engine for MySQL. InnoDB aims to provide transaction support, reliability, and scalability. Its architecture includes buffering, locking, recovery, and efficient I/O mechanisms. The on-disk format is designed for durability, performance through techniques like compression, and compatibility through file format management. Source code is organized into subdirectories corresponding to major subsystems.
Designing an extensible, flexible schema that supports user customization is a common requirement, but it's easy to paint yourself into a corner.
Examples of extensible database requirements:
- A database that allows users to declare new fields on demand.
- Or an e-commerce catalog with many products, each with distinct attributes.
- Or a content management platform that supports extensions for custom data.
The solutions we use to meet these requirements is overly complex and the performance is terrible. How should we find the right balance between schema and schemaless database design?
I'll briefly cover the disadvantages of Entity-Attribute-Value (EAV), a problematic design that's an example of the antipattern called the Inner-Platform Effect, That is, modeling an attribute-management system on top of the RDBMS architecture, which already provides attributes through columns, data types, and constraints.
Then we'll discuss the pros and cons of alternative data modeling patterns, with respect to developer productivity, data integrity, storage efficiency and query performance, and ease of extensibility.
- Class Table Inheritance
- Serialized BLOB
- Inverted Indexing
Finally we'll show tools like pt-online-schema-change and new features of MySQL 5.6 that take the pain out of schema modifications.
The document provides an overview of diagnosing performance and other issues with the InnoDB storage engine in MySQL. It discusses various sources of information for troubleshooting like SHOW ENGINE INNODB STATUS and OS tools. Common problems covered include the InnoDB data dictionary getting out of sync, crashes/segmentation faults, locking issues, and performance problems related to disk I/O, buffer pool hit rates, high CPU usage from row operations or thread thrashing. Interpreting diagnostic output and potential solutions are also outlined.
MySQL Replication Performance Tuning for Fun and Profit!Vitor Oliveira
MySQL Replication, in addition to bringing high-availability, is the foundation to build high-performance MySQL database systems. Using read scale-out and sharding one can design systems that go from the capacity of a single server to supporting the largest internet sites. But to design and operate high-performance, efficient, manageable and reliable deployments requires knowing the intricacies of the underlying technologies.
This session will provide insights on the main factors that affect the performance of Asynchronous Replication and Group Replication, and how to configure them to make the most out of the underlying computing system. It will also show the latest developments in MySQL 5.7 and 8.0, in areas spanning from group communication to the multi-threaded slave applier, and how effective they are in helping meet the performance requirements in terms of throughput, latency and durability to support the most demanding workload types.
Multi Source Replication With MySQL 5.7 @ VerisureKenny Gryp
Verisure migrated their data warehouse from using Tungsten Replicator to native multi-source replication in MySQL 5.7 to simplify operations. They loaded data from production shards into the new data warehouse setup using XtraBackup backups and improved replication capacity with MySQL's parallel replication features. Some issues were encountered with replication lag reporting and crashes during the upgrade but most were resolved. Monitoring and management tools also required updates to support the new multi-source replication configuration.
MySQL Group Replication - HandsOn TutorialKenny Gryp
Group Replication is a plugin for MySQL that provides multi-master replication. It works by having each node send write transactions to other nodes through a group communication system. The writes are certified locally in an asynchronous manner to ensure total order of transactions across all nodes. Group Replication uses optimistic locking where local locks are released right after commit, and conflict detection happens during certification rather than at the start of transactions.
We all have tasks from time to time for bulk-loading external data into MySQL. What's the best way of doing this? That's the task I faced recently when I was asked to help benchmark a multi-terrabyte database. We had to find the most efficient method to reload test data repeatedly without taking days to do it each time. In my presentation, I'll show you several alternative methods for bulk data loading, and describe the practical steps to use them efficiently. I'll cover SQL scripts, the mysqlimport tool, MySQL Workbench import, the CSV storage engine, and the Memcached API. I'll also give MySQL tuning tips for data loading, and how to use multi-threaded clients.
Using Apache Spark and MySQL for Data AnalysisSveta Smirnova
The document discusses using Apache Spark and MySQL for data analysis. It provides examples of loading Wikipedia usage statistics (Wikistats) data into both MySQL and Spark for analysis. Loading the full 10+ TB of Wikistats data into MySQL took over a month, while Spark was able to scan and analyze the entire dataset in under an hour by leveraging its ability to perform distributed, parallel processing across multiple nodes. The document compares key differences between Spark and MySQL for big data processing, such as Spark's lack of indexes but ability to perform full scans in parallel across nodes.
Many questions on database newsgroups and forums can be answered with uses of outer joins. Outer joins are part of the standard SQL language and supported by all RDBMS brands. Many programmers are expected to use SQL in their work, but few know how to use outer joins effectively.
Learn to use this powerful feature of SQL, increase your employability, and amaze your friends!
Karwin will explain outer joins, show examples, and demonstrate a Sudoku puzzle solver implemented in a single SQL query.
What you wanted to know about MySQL, but could not find using inernal instrum...Sveta Smirnova
This document discusses various ways that MySQL could provide more detailed instrumentation and troubleshooting information. It begins by noting that while modern versions have online documentation, errors are often discovered from log files after context is lost. It then provides examples of specific bugs filed requesting additional metrics around areas like connections, replication, tracing, and temporary tables to help troubleshoot issues. The document argues that more visibility into internal operations could help identify causes of problems.
Software developers love tools for coding, debugging, testing, and configuration management. The more these tools improve the How of coding, the more we see that we're behind the curve on improving the What, Why, and When. If you've been on a project that seemed vague, adrift, and endless, this talk can help. Make your projects run SMART.
Advanced Percona XtraDB Cluster in a nutshell... la suiteKenny Gryp
This document provides a hands-on tutorial for advanced Percona XtraDB Cluster users. It discusses setting up a 3 node PXC cluster environment in VirtualBox and bootstrapping the initial cluster. It then covers topics like avoiding state snapshot transfers when restarting MySQL, recovering from clean and unclean shutdowns, and reproducing and diagnosing different types of conflicts through examples.
MySQL High Availability and Disaster Recovery with Continuent, a VMware companyContinuent
Users seeking high availability, disaster recovery and zero downtime maintenance operation for business-critical MySQL applications face confusing choices. Is multi-master or master/slave clustering better? What about synchronous versus asynchronous replication? Using a plain vanilla, stock MySQL or a modified version of it? Which of these choices are right for data-driven businesses that depend on fast, reliable data access?
This no-BS webinar cuts through the FUD to explore the real trade-offs between the different clustering and replication methods, thens show you how Continuent's asynchronous master/slave clusters support these important capabilities for business-critical applications:
- High application write rates Master/slave clustering with Continuent
- Mixed workloads consisting of large and small transactions
- Data across multiple geographically distributed locations
- Failures and more importantly recovery from them
- Zero downtime maintenance and software upgrades
- Use of off-the-shelf MySQL/MariaDB to avoid application changes and allow clusters to improve as MySQL itself does.
We illustrate key points with demonstrations and case studies from deployed systems.
Java MySQL Connector & Connection Pool Features & OptimizationKenny Gryp
This talk will give an overview of the different available Java MySQL connectors (Connector/J, MariaDB Java Connector) and connection pools (Commons-DBCP, C3P0, ...).
One of the things with the default configuration of these solutions is that they are very chatty. This can have a noticeable impact on application performance and database load. I've seen many environments where over 50% of the total amount of queries are caused by such behavior. This behavior will be explained through examples seen on production systems as well as recommendations on optimization will be made.
Load balancing and transparent failover solutions will be described for both MySQL's traditional asynchronous replication and Galera based replication (Percona XtraDB Cluster or MariaDB Galera Cluster).
The document discusses proposed changes to MySQL Server 8.0 and replication defaults. Some key areas discussed include changing the default character set to UTF8MB4, turning on the event scheduler by default, increasing some session buffer sizes, enabling security defaults, and enabling replication features like binary logging and GTIDs by default. The document seeks feedback from users on the proposed changes.
MySQL Storage Engines - which do you use? TokuDB? MyRocks? InnoDB?Sveta Smirnova
"MySQL Storage Engines - which do you use? TokuDB? MyRocks? InnoDB?" session at https://www.percona.com/live/17/sessions/mysql-storage-engines-which-do-you-use-tokudb-myrocks-innodb
20190615 hkos-mysql-troubleshootingandperformancev2Ivan Ma
MySQL Troubleshooting in Hong Kong Open Source Conference 2019 - how to use sys.diagnostics(...) and using the dimitri (http://dimitrik.free.fr/) Tools for performance analysis.
The document provides an overview of MySQL Group Replication, which is a multi-master update anywhere replication plugin for MySQL that provides built-in automatic distributed recovery, conflict detection, and group membership. It allows for active/active update anywhere setups, automates group reconfiguration, and provides a highly available distributed database service. The document discusses the theory behind MySQL Group Replication, provides examples of how to use it, and concludes by discussing its benefits and future releases.
This document provides an introduction to MySQL InnoDB Cluster, which is MySQL's solution for high availability and scaling. It discusses how Group Replication, the heart of MySQL InnoDB Cluster, allows data to be written simultaneously across cluster nodes while maintaining consistency through techniques like conflict detection and resolution. The document also explains how Group Replication provides automatic recovery from failures and makes high availability easy for users to setup and manage.
DataOps Barcelona - MySQL HA so easy... that's insane !Frederic Descamps
1. MySQL 8.0 InnoDB Cluster is a new high availability and scaling solution for MySQL that makes setup easy.
2. It uses Group Replication under the hood to allow writing to all nodes simultaneously while maintaining consistency.
3. Key components include MySQL Router for routing and load balancing, and MySQL Shell for administration.
This document discusses enhancements to MySQL database replication in versions 8 and 5.7. It covers new features for binary log metadata, multi-source replication with filtering, automatic protection of offline replicas, primary election weights, shutting down replicas that leave groups involuntarily, triggering primary elections and changing group modes online, and relaxed member eviction timeouts. It also discusses performance improvements to the replication applier thread through dependency tracking.
20190817 coscup-oracle my sql innodb cluster sharingIvan Ma
The document provides an agenda for a presentation on MySQL InnoDB Cluster. It discusses MySQL replication components, demonstrating MySQL InnoDB Cluster, network stability, operations, backup and recovery, GTID consistency, replication between clusters, and troubleshooting. It also covers MySQL innovations from version 5.7 to 8.0 and options for configuring an InnoDB Cluster, including consistency settings and member weights.
This is an in-depth introduction to MySQL Performance Tuning. We will review best practices, the most important configuration options, discuss the initial MySQL configuration file, monitoring, and more!
Learn how to find the queries most in need of optimization using performance reports in MySQL Workbench, MySQL Enterprise Monitor, or through the sys schema.
MySQL InnoDB Cluster and Group Replication in a NutshellFrederic Descamps
This document outlines the agenda and steps for a hands-on tutorial on MySQL InnoDB Cluster and Group Replication. The agenda includes preparing the workstation by setting up virtual machines, an overview of MySQL InnoDB Cluster and Group Replication, migrating from a master-slave topology to Group Replication, monitoring Group Replication, and application interaction with Group Replication. The first lab demonstrates the current master-slave setup. The migration plan involves installing MySQL InnoDB Cluster on a new server, restoring a backup, setting up asynchronous replication on the new server, adding it to the Group Replication group, pointing the application to a new node, and stopping asynchronous replication after catch up.
MySQL InnoDB cluster provides a complete high availability solution for MySQL.
MySQL Shell includes AdminAPI which enables you to easily configure and administer a group of at least three MySQL server instances to function as an InnoDB cluster.
Each MySQL server instance runs MySQL Group Replication, which provides the mechanism to replicate data within InnoDB clusters, with built-in failover.
MySQL Router can automatically configure itself based on the cluster you deploy, connecting client applications transparently to the server instances.
SQL Server Alwayson for SharePoint HA/DR Step by Step GuideLars Platzdasch
SQL Server Alwayson for Sharepoint HA/DR SQL Konferenz 2017
-What is SQL Server AlwaysOn?
-AlwaysOn Failover Clustering
-AlwaysOn Availability Groups
-Why AlwaysOn Availability Groups for SharePoint?
-Requirements and Prerequisites
-Step by Step guide to implementing AlwaysOn Availability Groups
Demonstration
lessons learned
This document summarizes a presentation about MySQL Group Replication. The presentation discusses how Group Replication provides enhanced high availability for MySQL databases by allowing multiple MySQL servers to act as equal masters that can handle writes and remain available even if one server fails. It covers the theory behind Group Replication, how to configure and use it, and management of Group Replication deployments.
The document discusses MySQL InnoDB Cluster, which provides high availability and scaling features for MySQL. It uses Group Replication under the hood, which allows data to be written simultaneously across cluster nodes while maintaining consistency. By default, MySQL InnoDB Cluster runs in Single Primary Mode, where one node acts as the primary/writable node and others act as hot standbys through an automated leader election process.
Basic MySQL Troubleshooting for Oracle DBAsSveta Smirnova
The document discusses troubleshooting MySQL performance issues. It begins with an introduction to MySQL architecture including installation layout, log files, connectors, storage engines, and plugins. It then covers basic troubleshooting techniques such as checking access privileges, using EXPLAIN to analyze query plans, and reviewing system variables and startup options that could affect performance. Methods for interpreting error messages and using the INFORMATION_SCHEMA database to obtain metadata are also summarized.
GraphPipe - Blazingly Fast Machine Learning Inference by Vish AbramsOracle Developers
GraphPipe is an open source protocol and collection of software designed to simplify machine learning model deployment and decouple it fromframework-specific model implementations.
This document summarizes a presentation about new features and changes coming in MySQL 5.7. Key points include: MySQL 5.7 will include performance improvements, more robust transaction handling and memory instrumentation. However, some backwards incompatible changes will be needed to improve the architecture. The presentation outlines several proposed changes, such as making replication more durable by default and changing the default SQL mode to STRICT. It also discusses new features for InnoDB and the optimizer.
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Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
AI Chatbot Development – A Comprehensive Guide .pdfayushiqss
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